code: def test_predict_recommend(self):
      column_info = self.column_info
      model = WideAndDeep(5, column_info, "wide_n_deep")
      data = self.data_in.rdd.map(
          lambda row: to_user_item_feature(row, column_info)
      )
      predictions = model.predict_user_item_pair(data)
      print(predictions.take(1)[0])
      recommended_items = model.recommend_for_user(data, max_items=3)
      print(recommended_items.take(1)[0])
      recommended_users = model.recommend_for_item(data, max_users=4)
      print(recommended_users.take(1)[0])
  
file_path: analytics-zoo/pyzoo/test/zoo/models/recommendation/test_wideanddeep.py
imports: import pytest
  from pyspark.sql.functions import col, udf
  from zoo.models.recommendation import *
  from zoo.models.recommendation.utils import *
  from zoo.common.nncontext import *
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
label_desc: Use image node_id 7 for calling the TestWideAndDeep obj's underlying member method code with example usage: obj.test_predict_recommend() without return types